Explore the vast range of titles available.

The study tries to discover the impact of financial and social indicators’ growth towards environmental considerations to understand the drivers of economic growth and carbon dioxide emissions change in G7 countries. The DEA-like composite index has been used to examine the tradeoff between financial and social indicator matters in environmental consideration by using a multi-objective goal programming approach. The data from 2008 to 2018 is collected from G-7 countries. The results from the DEA-like composite index reveals that there is a mixed condition of environmental sustainability in G-7 countries where the USA is performing better and Japan is performing worse among the set of other countries. The further result shows that the energy and fiscal indicators help to decrease the dangerous gas emissions. Divergent to that, the human and financial index positively contributes to greenhouse gas emissions. Fostering sustainable development is essential to successfully reduce emissions, meet established objectives, and ensure steady development. The study provides valuable information for policymakers.

Maintaining ecological quality of energy use without compromising on economic growth has become the key research agenda of existing literature. Emerging economies are particularly facing this dual problem where they need to look in to the factors which impact sustainable energy consumption. The article, thus, aims to examine impact of economic and non-economic determinants on sustainable energy consumption in Vietnamese context. Factors such as industrialization, population growth, inflation, and employment rate are being considered as economic indicators and eco-innovation and political instability are being used as non-economic indicators. The study has taken secondary data from secondary sources such as Organization for Economic Co-operation and Development (OECD), the global economy, and World Development Indicators (WDI) from 1986 to 2020. The study has applied the Bayesian auto-regressive distributed lags (BARDL) model and the non-linear autoregressive distributed lag (NARDL) technique to check the association among variables. The results revealed that industrialization, population growth, inflation, employment rate, and eco-innovation have a positive linkage with SEC in Vietnam. The results also indicated that political instability has a negative association with SEC in Vietnam. In the light of results, it is obvious that government fiscal and monetary policies must be favorable to inflation so that sustainable energy can be introduced and started to consume. The study also conveys that the policymakers must take care of employment rate growth, for it can encourage sustaining energy consumption.

Maintaining ecological quality of energy use without compromising on economic growth has become the key research agenda of existing literature. Emerging economies are particularly facing this dual problem where they need to look in to the factors which impact sustainable energy consumption. The article, thus, aims to examine impact of economic and non-economic determinants on sustainable energy consumption in Vietnamese context. Factors such as industrialization, population growth, inflation, and employment rate are being considered as economic indicators and eco-innovation and political instability are being used as non-economic indicators. The study has taken secondary data from secondary sources such as Organization for Economic Co-operation and Development (OECD), the global economy, and World Development Indicators (WDI) from 1986 to 2020. The study has applied the Bayesian auto-regressive distributed lags (BARDL) model and the non-linear autoregressive distributed lag (NARDL) technique to check the association among variables. The results revealed that industrialization, population growth, inflation, employment rate, and eco-innovation have a positive linkage with SEC in Vietnam. The results also indicated that political instability has a negative association with SEC in Vietnam. In the light of results, it is obvious that government fiscal and monetary policies must be favorable to inflation so that sustainable energy can be introduced and started to consume. The study also conveys that the policymakers must take care of employment rate growth, for it can encourage sustaining energy consumption.

Currently, Industry 4.0 is considered as the essential improvement of business processes that could improve the lean management along with high organizational support and effective supply chain practices. Thus, the aim linked with the current article is to examine the role of Industry 4.0 in the business processes and its impact on lean management. The purpose also includes the investigation of mediation impact of supply chain operations reference model (SCORM) among the nexus of the role of Industry 4.0 in business process and lean management along with the examination of moderating role of organizational support among the nexus of SCORM and lean management. The researchers and questionnaires have selected the quantitative method of data collection have been used to gather the data from the respondents, while smart-PLS has been executed for analysis purpose. The results revealed that positive association had been found among the nexus of the role of Industry 4.0 in the business processes and lean management. The results also exposed that SCORM is positively mediating among the nexus of the role of Industry 4.0 in the business processes and lean management while organizational support positive moderated among the nexus of SCORM and lean management. These findings provided the guidelines to the policymakers that they should enhance their focus on the implementation of Industry 4.0 in the organization that could lead the organization towards success.

This study analyzes the impact of control of corruption, foreign direct investment, energy consumption, and financial development on green growth in ASEAN countries during the period 2002-2021. Applying panel data with feasible generalized least squares regression and quantile regression, the results show that control of corruption and financial development positively impact green growth. In contrast, foreign direct investment negatively and inconsistently impacts green growth. Quantile regression results show that the positive impacts of control of corruption and financial development are more pronounced in countries with high green growth. In contrast, foreign direct investment shows a substantial negative impact at high quantiles, implying the need to be more cautious with foreign direct investment projects during green growth aims. Factors such as population growth, urbanization level, service sector value added, and forest area all have negative impacts in most quantiles, emphasizing the urgency of effectively managing these factors to ensure sustainable green growth. Based on the empirical results, policy implications are recommended for ASEAN countries and emerging nations.

Lotus plants have emerged as a relatively new commodity in the food industry in Vietnam, with significant economic potential from its diverse applications in medicine, cosmetics, food, and decoration. Vertical coordination, involving strategic alignment and collaboration among different actors in the value chain, plays a critical role in supporting the small-grain grower-trader relationship. This study aimed to investigate the factors driving the adoption of vertical coordination mechanisms within lotus-grain value chains and to assess the impact of different coordination strategies applied by farmers on their well-being in central Vietnam. Employing a multinomial endogenous switching regression methodology, the study offers nuanced insights into the adoption patterns and impacts of various coordination strategies, controlling for both sample selection bias and unobservable factors. The results highlight the importance of trust, input management, and strategic decision-making in enhancing yield and revenue outcomes among smallholder farming households. Trust between farmers and traders significantly influences the adoption of such strategies in agricultural transactions. Higher trust levels correlate with an increased likelihood of adopting verbal, input, or written contracts. The positive impacts of input contracts on lotus grain yield and revenue, highlighting the importance of effective input management. These findings deepen our understanding of vertical coordination within lotus-grain value chains and assist stakeholders in making evidence-based decisions when selecting vertical coordination strategies for sustainable value chain management. Vertical coordination between farmers and traders has emerged as a promising strategy for enhancing efficiency, promoting mutual benefits, and improving livelihoods within Central Vietnam's lotus grain value chain. By addressing existing challenges and charting future directions, vertical coordination holds the potential to significantly contribute to the sustainable development of the lotus grain industry in the region. This study highlights the importance of trust, input management, and strategic decision-making in enhancing yield and revenue. Trust between farmers and traders significantly influences the adoption of verbal, input, or written contracts. The positive impacts of input contracts on lotus grain yield and revenue underscore the importance of effective input management. These findings assist stakeholders in making evidence-based decisions for sustainable value chain management.

This study undertakes a meticulous examination of the Livelihood Strategy Diversity Index (LSDI) and its nuanced implications on household welfare in heterogeneous regions of rural Vietnam. Employing a unique panel dataset derived from the Vietnam Access to Resources Household Survey (VARHS) spanning from 2010 to 2018, the study employs both Ordinary Least Squares (OLS) and instrumental variable (IV) methods to investigate the intricate relationship between LSDI and household welfare, with a specific focus on income and dietary diversity. The empirical findings reveal compelling evidence of pronounced regional heterogeneity, highlighting the distinctive impacts of the LSDI on household welfare across diverse geographical areas. This study underscores the importance of region-specific strategies, advocating for a tailored and diversified approach to agricultural activities aligned with the unique context of each region. Furthermore, the findings emphasize the pivotal role of consolidating small plots as a strategic measure to alleviate agricultural land fragmentation, offering valuable insights into region-specific interventions for the enhancement of household well-being, encompassing both income and nutritional diversity.

This study undertakes a meticulous examination of the Livelihood Strategy Diversity Index (LSDI) and its nuanced implications on household welfare in heterogeneous regions of rural Vietnam. Employing a unique panel dataset derived from the Vietnam Access to Resources Household Survey (VARHS) spanning from 2010 to 2018, the study employs both Ordinary Least Squares (OLS) and instrumental variable (IV) methods to investigate the intricate relationship between LSDI and household welfare, with a specific focus on income and dietary diversity. The empirical findings reveal compelling evidence of pronounced regional heterogeneity, highlighting the distinctive impacts of the LSDI on household welfare across diverse geographical areas. This study underscores the importance of region-specific strategies, advocating for a tailored and diversified approach to agricultural activities aligned with the unique context of each region. Furthermore, the findings emphasize the pivotal role of consolidating small plots as a strategic measure to alleviate agricultural land fragmentation, offering valuable insights into region-specific interventions for the enhancement of household well-being, encompassing both income and nutritional diversity.

This study undertakes a meticulous examination of the Livelihood Strategy Diversity Index (LSDI) and its nuanced implications on household welfare in heterogeneous regions of rural Vietnam. Employing a unique panel dataset derived from the Vietnam Access to Resources Household Survey (VARHS) spanning from 2010 to 2018, the study employs both Ordinary Least Squares (OLS) and instrumental variable (IV) methods to investigate the intricate relationship between LSDI and household welfare, with a specific focus on income and dietary diversity. The empirical findings reveal compelling evidence of pronounced regional heterogeneity, highlighting the distinctive impacts of the LSDI on household welfare across diverse geographical areas. This study underscores the importance of region-specific strategies, advocating for a tailored and diversified approach to agricultural activities aligned with the unique context of each region. Furthermore, the findings emphasize the pivotal role of consolidating small plots as a strategic measure to alleviate agricultural land fragmentation, offering valuable insights into region-specific interventions for the enhancement of household well-being, encompassing both income and nutritional diversity.